Building, modding, and breaking is my favorite way to learn new technologies. I’ve worked with Python Flask, Django, Node.JS, and Java. I love learning new languages, technologies, and building something fun. Down below, you can find more information about my past projects and the awards that I have won from Amazon, Microsoft, and Capital One.
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Cafe Connect is not a iOS App or a Web App but instead a conversation starter. Cafe Connect was built to remove the need for automated phone operators and to provide customers a mechanism to help initiate personal conversations and resolve banking problems. Brand Site
A team of past Capital One interns, including myself, developed this tool to facilitate customer engagement at Capital One’s 2016 Carbon intern hackathon. Users of CafeConnect had the opportunity to order a coffee and request a Capital One Bank ambassador for personalized help with Capital One's products. Customers meet the advisor before a word is even said through in-app matching.
Built upon Node.JS, Express.JS, Angular.JS, MongoDB, and iOS to deliver a cohesive experience for customers with a platform-independent application for ambassadors. The customers facing iOS app is backed by the Node.JS REST API that I built. The internal Web App works on any device with a modern browser and allows specialists to view and select customers from the queue to offer a personal experience to each visitor.
Cafe Connect won best Mobile or WebApp for its ease of use, aesthetics, and platform independence while strengthening customer relationships with ambassadors. Our application eliminated the confusion associated with managing appointments in such a casual environment. Users get the help they need, at the time they need it while being a part of a real conversation.
Flex was a budgeting app developed on top of Capital One’s APIs that was designed to help users have a comprehensive understanding of their spending patterns. We were not happy with the bank statements that our banks were providing us at the end of each month; our online accounts were not providing much more information. Flex is not another bank statement; it was designed to be your new personal advisor.
Humans do not associate purchases with company codes or merchant acronyms. We associate purchases with locations and experiences. It was very important to us to develop an application that understands this and presents users with location-based transaction information. I worked extensively with another team member to bring past purchases to a web map powered by OpenStreetMap and Leaflet JS. Bank account users should understand where they are spending.
The personalized data visualizations are generated by taking user purchases and breaking them into sub-categories. User experience and page responsiveness were essential to us. Much of our analysis was run in batches and cached to provide the best user experience possible.
While in school, I worked on a hardware cache simulation project in Java during my free time. The application implemented three types of hardware caches; Direct Map, Set Associative, and Full Associative cache architectures. The application is designed to help users understand how algorithms can be optimized to prevent costly reads and writes from system RAM. Currently, Heap, Insertion, and Quicksort algorithms are implemented. More information about the project can be found on my GitHub page.